The first few times I used AI Pro to query on-chain wallets, I checked the summary against raw data.
It held up. Main flows were accurate, nothing that would have changed my decision. After a while, I stopped verifying as often. Not because I chose to trust it, but because checking and finding nothing wrong enough times is how trust builds without you noticing.
What I kept coming back to was a different question. Not whether the AI Pro was accurate, but whether I could tell when it wasn’t complete.
Accuracy has a benchmark. You can pull the raw data, compare it against the summary, and see what matches. I did that. It worked. But completeness doesn’t have the same reference point. To know what the AI Pro omitted, I’d have to go through the raw data myself — which is exactly the process the AI is supposed to replace. To fully verify an AI Pro summary, you have to not rely on it. And the moment you accept the summary without doing that, you’re not just trusting what the AI Pro shows you. You’re also trusting what it decided not to show. Those are different layers of trust, and only one of them is visible.
The cases where this distinction matters are exactly the ones where missing detail would have changed the outcome. And those cases don’t look any different from the ones where it doesn’t. Same clean output. Same structured narrative. No signal telling you this is the one you should double-check.
I still use AI Pro to querry on-chain wallet. The speed and accuracy on major flows is good enough to rely on. What changed is how I treat the output. I don’t use every summary the same way anymore.
If it’s just for a quick read on where liquidity is moving, the summary is enough. But if a decision depends on it, I go back to the raw data. Not every time, just when the detail could change the outcome.
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